Dataset statistics
| Number of variables | 10 |
|---|---|
| Number of observations | 296760 |
| Missing cells | 254500 |
| Missing cells (%) | 8.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 42.8 MiB |
| Average record size in memory | 151.4 B |
Variable types
| NUM | 8 |
|---|---|
| CAT | 1 |
| DATE | 1 |
Reproduction
| Analysis started | 2020-04-13 00:11:08.727311 |
|---|---|
| Analysis finished | 2020-04-13 00:23:10.726193 |
| Version | pandas-profiling v2.5.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
$SO_2$ (µg/m3) has 43871 (14.8%) missing values | Missing |
CO (ppm) has 40287 (13.6%) missing values | Missing |
$O_3$ (µg/m3) has 42226 (14.2%) missing values | Missing |
$PM_{10}$ (µg/m3) has 46542 (15.7%) missing values | Missing |
$NO_2$ (µg/m3) has 40747 (13.7%) missing values | Missing |
NO (µg/m3) has 40827 (13.8%) missing values | Missing |
$SO_2$ (µg/m3) is highly skewed (γ1 = 34.17882096) | Skewed |
$SO_2$ (µg/m3) has 78999 (26.6%) zeros | Zeros |
CO (ppm) has 11044 (3.7%) zeros | Zeros |
df_index
Date
| Distinct count | 43824 |
|---|---|
| Unique (%) | 14.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.3 MiB |
| Minimum | 2011-01-01 00:00:00 |
|---|---|
| Maximum | 2015-12-31 23:00:00 |
Histogram
| Distinct count | 15119 |
|---|---|
| Unique (%) | 6.0% |
| Missing | 43871 |
| Missing (%) | 14.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.1579326887953874 |
|---|---|
| Minimum | 0.0 |
| Maximum | 273.708955847191 |
| Zeros | 78999 |
| Zeros (%) | 26.6% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0.5228240342 |
| Q3 | 1.563885299 |
| 95-th percentile | 4.135172947 |
| Maximum | 273.7089558 |
| Range | 273.7089558 |
| Interquartile range (IQR) | 1.563885299 |
Descriptive statistics
| Standard deviation | 2.296314677 |
|---|---|
| Coefficient of variation (CV) | 1.983115858 |
| Kurtosis | 2950.186933 |
| Mean | 1.157932689 |
| Median Absolute Deviation (MAD) | 1.13210345 |
| Skewness | 34.17882096 |
| Sum | 292828.4397 |
| Variance | 5.273061098 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 78999 | 26.6% | |
| 0.5208641808 | 2363 | 0.8% | |
| 0.7812962712 | 2261 | 0.8% | |
| 0.2604320904 | 2231 | 0.8% | |
| 0.2606475499 | 2033 | 0.7% | |
| 0.2611202188 | 1992 | 0.7% | |
| 1.041728362 | 1940 | 0.7% | |
| 0.2600073888 | 1921 | 0.6% | |
| 0.2611377503 | 1883 | 0.6% | |
| 0.5200147776 | 1801 | 0.6% | |
| Other values (15109) | 155465 | 52.4% | |
| (Missing) | 43871 | 14.8% |
| Value | Count | Frequency (%) | |
| 0 | 78999 | 26.6% | |
| 0.2543025298 | 1 | < 0.1% | |
| 0.2544061069 | 1 | < 0.1% | |
| 0.2545720059 | 1 | < 0.1% | |
| 0.2545927585 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 273.7089558 | 1 | < 0.1% | |
| 246.4349729 | 1 | < 0.1% | |
| 233.8691658 | 1 | < 0.1% | |
| 210.3116422 | 1 | < 0.1% | |
| 209.9314216 | 1 | < 0.1% |
| Distinct count | 445 |
|---|---|
| Unique (%) | 0.2% |
| Missing | 40287 |
| Missing (%) | 13.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3798388134423507 |
|---|---|
| Minimum | 0.0 |
| Maximum | 7.66 |
| Zeros | 11044 |
| Zeros (%) | 3.7% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.01 |
| Q1 | 0.17 |
| median | 0.33 |
| Q3 | 0.53 |
| 95-th percentile | 0.9 |
| Maximum | 7.66 |
| Range | 7.66 |
| Interquartile range (IQR) | 0.36 |
Descriptive statistics
| Standard deviation | 0.3133495106 |
|---|---|
| Coefficient of variation (CV) | 0.8249539002 |
| Kurtosis | 23.10958797 |
| Mean | 0.3798388134 |
| Median Absolute Deviation (MAD) | 0.2248706058 |
| Skewness | 2.804800954 |
| Sum | 97418.4 |
| Variance | 0.09818791578 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 11044 | 3.7% | |
| 0.01 | 4667 | 1.6% | |
| 0.2 | 4051 | 1.4% | |
| 0.21 | 4031 | 1.4% | |
| 0.26 | 4025 | 1.4% | |
| 0.24 | 4008 | 1.4% | |
| 0.23 | 4007 | 1.4% | |
| 0.17 | 3979 | 1.3% | |
| 0.28 | 3971 | 1.3% | |
| 0.25 | 3967 | 1.3% | |
| Other values (435) | 208723 | 70.3% | |
| (Missing) | 40287 | 13.6% |
| Value | Count | Frequency (%) | |
| 0 | 11044 | 3.7% | |
| 0.01 | 4667 | 1.6% | |
| 0.02 | 3475 | 1.2% | |
| 0.03 | 3037 | 1.0% | |
| 0.04 | 2780 | 0.9% |
| Value | Count | Frequency (%) | |
| 7.66 | 1 | < 0.1% | |
| 6.26 | 1 | < 0.1% | |
| 6.09 | 1 | < 0.1% | |
| 6.05 | 1 | < 0.1% | |
| 5.99 | 1 | < 0.1% |
| Distinct count | 63252 |
|---|---|
| Unique (%) | 24.9% |
| Missing | 42226 |
| Missing (%) | 14.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.592120864219352 |
|---|---|
| Minimum | 0.0 |
| Maximum | 151.80936261525568 |
| Zeros | 1117 |
| Zeros (%) | 0.4% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2.175734911 |
| Q1 | 7.307514244 |
| median | 12.87810793 |
| Q3 | 19.95511802 |
| 95-th percentile | 32.99522494 |
| Maximum | 151.8093626 |
| Range | 151.8093626 |
| Interquartile range (IQR) | 12.64760378 |
Descriptive statistics
| Standard deviation | 9.640177003 |
|---|---|
| Coefficient of variation (CV) | 0.660642623 |
| Kurtosis | 1.709970747 |
| Mean | 14.59212086 |
| Median Absolute Deviation (MAD) | 7.575743751 |
| Skewness | 1.058608995 |
| Sum | 3714190.892 |
| Variance | 92.93301266 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 1117 | 0.4% | |
| 19.36820278 | 265 | 0.1% | |
| 18.97692596 | 248 | 0.1% | |
| 17.41181867 | 242 | 0.1% | |
| 17.21618025 | 237 | 0.1% | |
| 20.93331008 | 234 | 0.1% | |
| 18.58564914 | 233 | 0.1% | |
| 18.39001072 | 230 | 0.1% | |
| 19.75947961 | 229 | 0.1% | |
| 18.78128755 | 228 | 0.1% | |
| Other values (63242) | 251271 | 84.7% | |
| (Missing) | 42226 | 14.2% |
| Value | Count | Frequency (%) | |
| 0 | 1117 | 0.4% | |
| 0.1915285258 | 1 | < 0.1% | |
| 0.1918425842 | 1 | < 0.1% | |
| 0.1920630387 | 1 | < 0.1% | |
| 0.1921892402 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 151.8093626 | 1 | < 0.1% | |
| 108.2943748 | 1 | < 0.1% | |
| 103.7071195 | 1 | < 0.1% | |
| 100.9446188 | 1 | < 0.1% | |
| 98.73216077 | 1 | < 0.1% |
| Distinct count | 1665 |
|---|---|
| Unique (%) | 0.7% |
| Missing | 46542 |
| Missing (%) | 15.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.336687608405462 |
|---|---|
| Minimum | 0.0 |
| Maximum | 969.4 |
| Zeros | 19 |
| Zeros (%) | < 0.1% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5.7 |
| Q1 | 14 |
| median | 22.2 |
| Q3 | 32.4 |
| 95-th percentile | 54.6 |
| Maximum | 969.4 |
| Range | 969.4 |
| Interquartile range (IQR) | 18.4 |
Descriptive statistics
| Standard deviation | 17.90939019 |
|---|---|
| Coefficient of variation (CV) | 0.7068560209 |
| Kurtosis | 126.2346366 |
| Mean | 25.33668761 |
| Median Absolute Deviation (MAD) | 12.09399281 |
| Skewness | 5.306224199 |
| Sum | 6339695.3 |
| Variance | 320.7462568 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 19.4 | 818 | 0.3% | |
| 18.6 | 808 | 0.3% | |
| 18 | 807 | 0.3% | |
| 19.1 | 801 | 0.3% | |
| 20.8 | 799 | 0.3% | |
| 17.3 | 797 | 0.3% | |
| 20 | 796 | 0.3% | |
| 22.7 | 795 | 0.3% | |
| 16.3 | 794 | 0.3% | |
| 15.6 | 792 | 0.3% | |
| Other values (1655) | 242211 | 81.6% | |
| (Missing) | 46542 | 15.7% |
| Value | Count | Frequency (%) | |
| 0 | 19 | < 0.1% | |
| 0.1 | 42 | < 0.1% | |
| 0.2 | 34 | < 0.1% | |
| 0.3 | 33 | < 0.1% | |
| 0.4 | 35 | < 0.1% |
| Value | Count | Frequency (%) | |
| 969.4 | 1 | < 0.1% | |
| 878.4 | 1 | < 0.1% | |
| 832.9 | 1 | < 0.1% | |
| 656.8 | 1 | < 0.1% | |
| 598 | 1 | < 0.1% |
| Distinct count | 111995 |
|---|---|
| Unique (%) | 43.7% |
| Missing | 40747 |
| Missing (%) | 13.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.152376988969056 |
|---|---|
| Minimum | 0.0 |
| Maximum | 268.6440491107547 |
| Zeros | 217 |
| Zeros (%) | 0.1% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4.929146911 |
| Q1 | 12.58186922 |
| median | 19.41337046 |
| Q3 | 27.73208362 |
| 95-th percentile | 42.75497444 |
| Maximum | 268.6440491 |
| Range | 268.6440491 |
| Interquartile range (IQR) | 15.1502144 |
Descriptive statistics
| Standard deviation | 12.08765172 |
|---|---|
| Coefficient of variation (CV) | 0.5714559514 |
| Kurtosis | 4.257981515 |
| Mean | 21.15237699 |
| Median Absolute Deviation (MAD) | 9.28864023 |
| Skewness | 1.234783773 |
| Sum | 5415283.49 |
| Variance | 146.111324 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 217 | 0.1% | |
| 16.31439814 | 149 | 0.1% | |
| 17.06448541 | 141 | < 0.1% | |
| 19.46565993 | 139 | < 0.1% | |
| 17.62705086 | 134 | < 0.1% | |
| 16.12687632 | 133 | < 0.1% | |
| 17.43952905 | 131 | < 0.1% | |
| 15.37678905 | 130 | < 0.1% | |
| 13.68909269 | 129 | < 0.1% | |
| 20.25235631 | 127 | < 0.1% | |
| Other values (111985) | 254583 | 85.8% | |
| (Missing) | 40747 | 13.7% |
| Value | Count | Frequency (%) | |
| 0 | 217 | 0.1% | |
| 0.01875092284 | 46 | < 0.1% | |
| 0.03750184567 | 38 | < 0.1% | |
| 0.05625276851 | 14 | < 0.1% | |
| 0.07500369135 | 21 | < 0.1% |
| Value | Count | Frequency (%) | |
| 268.6440491 | 1 | < 0.1% | |
| 204.2906119 | 1 | < 0.1% | |
| 165.6963269 | 1 | < 0.1% | |
| 157.4632923 | 1 | < 0.1% | |
| 153.2053251 | 1 | < 0.1% |
| Distinct count | 154118 |
|---|---|
| Unique (%) | 60.2% |
| Missing | 40827 |
| Missing (%) | 13.8% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.58717839929263 |
|---|---|
| Minimum | 0.0 |
| Maximum | 684.9544090228212 |
| Zeros | 1078 |
| Zeros (%) | 0.4% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1.469860324 |
| Q1 | 9.339641486 |
| median | 23.8082045 |
| Q3 | 47.04165279 |
| 95-th percentile | 130.9588906 |
| Maximum | 684.954409 |
| Range | 684.954409 |
| Interquartile range (IQR) | 37.7020113 |
Descriptive statistics
| Standard deviation | 46.0990583 |
|---|---|
| Coefficient of variation (CV) | 1.226457006 |
| Kurtosis | 12.06897714 |
| Mean | 37.5871784 |
| Median Absolute Deviation (MAD) | 29.7755884 |
| Skewness | 2.967953558 |
| Sum | 9619799.329 |
| Variance | 2125.123176 |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) | |
| 0 | 1078 | 0.4% | |
| 0.9767468513 | 182 | 0.1% | |
| 0.8546534949 | 174 | 0.1% | |
| 0.6104667821 | 172 | 0.1% | |
| 1.220933564 | 162 | 0.1% | |
| 1.465120277 | 161 | 0.1% | |
| 0.4883734257 | 159 | 0.1% | |
| 1.587213633 | 157 | 0.1% | |
| 0.7325601385 | 154 | 0.1% | |
| 1.343026921 | 153 | 0.1% | |
| Other values (154108) | 253381 | 85.4% | |
| (Missing) | 40827 | 13.8% |
| Value | Count | Frequency (%) | |
| 0 | 1078 | 0.4% | |
| 0.01223147655 | 5 | < 0.1% | |
| 0.01231627782 | 1 | < 0.1% | |
| 0.01235371964 | 1 | < 0.1% | |
| 0.01238299881 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 684.954409 | 1 | < 0.1% | |
| 647.7467967 | 1 | < 0.1% | |
| 560.8769782 | 1 | < 0.1% | |
| 545.6961459 | 1 | < 0.1% | |
| 545.658232 | 1 | < 0.1% |
station
Categorical
| Distinct count | 8 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.3 MiB |
| PARALELA-CAB | |
|---|---|
| DIQUE DO TORORÓ | |
| RIO VERMELHO | |
| CAMPO GRANDE | |
| PIRAJÁ | |
| Other values (3) |
| Value | Count | Frequency (%) | |
| PARALELA-CAB | 43824 | 14.8% | |
| DIQUE DO TORORÓ | 43680 | 14.7% | |
| RIO VERMELHO | 43680 | 14.7% | |
| CAMPO GRANDE | 43656 | 14.7% | |
| PIRAJÁ | 43608 | 14.7% | |
| AV ACM - DETRAN | 26256 | 8.8% | |
| ITAIGARA | 26040 | 8.8% | |
| AV BARROS REIS | 26016 | 8.8% |
Length
| Max length | 15 |
|---|---|
| Mean length | 11.64965629 |
| Min length | 6 |
| Value | Count | Frequency (%) | |
| Uppercase_Letter | 22 | 91.7% | |
| Dash_Punctuation | 1 | 4.2% | |
| Space_Separator | 1 | 4.2% |
| Value | Count | Frequency (%) | |
| Latin | 22 | 91.7% | |
| Common | 2 | 8.3% |
| Value | Count | Frequency (%) | |
| ASCII | 22 | 100.0% |
lat
Real number (ℝ)
| Distinct count | 8 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -12.969701134695887 |
|---|---|
| Minimum | -13.005500404304225 |
| Maximum | -12.898903466026768 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | -13.0055004 |
|---|---|
| 5-th percentile | -13.0055004 |
| Q1 | -12.98973907 |
| median | -12.98371943 |
| Q3 | -12.95380924 |
| 95-th percentile | -12.89890347 |
| Maximum | -12.89890347 |
| Range | 0.1065969383 |
| Interquartile range (IQR) | 0.03592983707 |
Descriptive statistics
| Standard deviation | 0.03339157866 |
|---|---|
| Coefficient of variation (CV) | -0.002574583509 |
| Kurtosis | 0.2242353465 |
| Mean | -12.96970113 |
| Median Absolute Deviation (MAD) | 0.02645618704 |
| Skewness | 1.153648667 |
| Sum | -3848888.509 |
| Variance | 0.001114997526 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[-13.0055004 -12.99233172 -12.98672925 -12.98086074 -12.97112677 -12.95903037 -12.92635635 -12.89890347], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| -12.95380924 | 43824 | 14.8% | |
| -12.98371943 | 43680 | 14.7% | |
| -13.0055004 | 43680 | 14.7% | |
| -12.98973907 | 43656 | 14.7% | |
| -12.89890347 | 43608 | 14.7% | |
| -12.97800204 | 26256 | 8.8% | |
| -12.99492436 | 26040 | 8.8% | |
| -12.9642515 | 26016 | 8.8% |
| Value | Count | Frequency (%) | |
| -13.0055004 | 43680 | 14.7% | |
| -12.99492436 | 26040 | 8.8% | |
| -12.98973907 | 43656 | 14.7% | |
| -12.98371943 | 43680 | 14.7% | |
| -12.97800204 | 26256 | 8.8% |
| Value | Count | Frequency (%) | |
| -12.89890347 | 43608 | 14.7% | |
| -12.95380924 | 43824 | 14.8% | |
| -12.9642515 | 26016 | 8.8% | |
| -12.97800204 | 26256 | 8.8% | |
| -12.98371943 | 43680 | 14.7% |
lon
Real number (ℝ)
| Distinct count | 8 |
|---|---|
| Unique (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -38.478602028828334 |
|---|---|
| Minimum | -38.520087964258316 |
| Maximum | -38.4283765135188 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.3 MiB |
Quantile statistics
| Minimum | -38.52008796 |
|---|---|
| 5-th percentile | -38.52008796 |
| Q1 | -38.50698772 |
| median | -38.4793294 |
| Q3 | -38.45784983 |
| 95-th percentile | -38.42837651 |
| Maximum | -38.42837651 |
| Range | 0.09171145074 |
| Interquartile range (IQR) | 0.04913788754 |
Descriptive statistics
| Standard deviation | 0.02876902065 |
|---|---|
| Coefficient of variation (CV) | -0.0007476628343 |
| Kurtosis | -0.810422634 |
| Mean | -38.47860203 |
| Median Absolute Deviation (MAD) | 0.02321297532 |
| Skewness | 0.2580242339 |
| Sum | -11418909.94 |
| Variance | 0.0008276565494 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[-38.52008796 -38.49708083 -38.48325167 -38.47734722 -38.47214644 -38.46338883 -38.44311317 -38.42837651], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| -38.42837651 | 43824 | 14.8% | |
| -38.48717394 | 43680 | 14.7% | |
| -38.50698772 | 43680 | 14.7% | |
| -38.52008796 | 43656 | 14.7% | |
| -38.45784983 | 43608 | 14.7% | |
| -38.46892783 | 26256 | 8.8% | |
| -38.47536505 | 26040 | 8.8% | |
| -38.4793294 | 26016 | 8.8% |
| Value | Count | Frequency (%) | |
| -38.52008796 | 43656 | 14.7% | |
| -38.50698772 | 43680 | 14.7% | |
| -38.48717394 | 43680 | 14.7% | |
| -38.4793294 | 26016 | 8.8% | |
| -38.47536505 | 26040 | 8.8% |
| Value | Count | Frequency (%) | |
| -38.42837651 | 43824 | 14.8% | |
| -38.45784983 | 43608 | 14.7% | |
| -38.46892783 | 26256 | 8.8% | |
| -38.47536505 | 26040 | 8.8% | |
| -38.4793294 | 26016 | 8.8% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
First rows
| df_index | $SO_2$ (µg/m3) | CO (ppm) | $O_3$ (µg/m3) | $PM_{10}$ (µg/m3) | $NO_2$ (µg/m3) | NO (µg/m3) | station | lat | lon | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2013-01-02 00:00:00 | 2.345836 | 0.53 | 11.521811 | 26.5 | 18.904214 | 10.744251 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 1 | 2013-01-02 01:00:00 | 3.915609 | 0.52 | 13.299354 | 20.1 | 10.309862 | 0.978220 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 2 | 2013-01-02 02:00:00 | 4.442517 | 0.51 | 14.684361 | 24.0 | 5.442022 | 0.734463 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 3 | 2013-01-02 03:00:00 | 4.707386 | 0.51 | 16.067001 | 17.5 | 4.131542 | 0.490011 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 4 | 2013-01-02 04:00:00 | 4.708964 | 0.52 | 16.660399 | 11.7 | 4.508647 | 0.490175 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 5 | 2013-01-02 05:00:00 | 4.969324 | 0.54 | 17.831946 | 14.9 | 3.380636 | 1.225130 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 6 | 2013-01-02 06:00:00 | 5.467229 | 0.54 | 15.409505 | 11.9 | 10.095408 | 2.195123 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 7 | 2013-01-02 07:00:00 | 5.428762 | 0.60 | 11.040024 | 19.9 | 18.192390 | 10.535112 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 8 | 2013-01-02 08:00:00 | 5.145123 | 0.55 | 17.539643 | 17.2 | 15.702427 | 14.460568 | AV ACM - DETRAN | -12.978002 | -38.468928 |
| 9 | 2013-01-02 09:00:00 | 4.871014 | 0.49 | 19.399959 | 11.3 | 20.618923 | 18.493747 | AV ACM - DETRAN | -12.978002 | -38.468928 |
Last rows
| df_index | $SO_2$ (µg/m3) | CO (ppm) | $O_3$ (µg/m3) | $PM_{10}$ (µg/m3) | $NO_2$ (µg/m3) | NO (µg/m3) | station | lat | lon | |
|---|---|---|---|---|---|---|---|---|---|---|
| 296750 | 2015-12-31 14:00:00 | 1.300037 | 0.05 | 10.129842 | 7.5 | 20.874190 | 31.848998 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296751 | 2015-12-31 15:00:00 | 1.300037 | 0.10 | 11.298670 | 6.8 | 19.753930 | 26.965079 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296752 | 2015-12-31 16:00:00 | 0.780022 | 0.10 | 11.103865 | 19.7 | 19.921969 | 27.233024 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296753 | 2015-12-31 17:00:00 | 1.300037 | 0.10 | 10.324646 | 13.9 | 21.266282 | 33.639362 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296754 | 2015-12-31 18:00:00 | 0.780022 | 0.12 | 12.662302 | 19.4 | 19.697917 | 26.867644 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296755 | 2015-12-31 19:00:00 | 0.260007 | 0.10 | 13.246716 | 20.6 | 21.863754 | 27.732378 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296756 | 2015-12-31 20:00:00 | 0.520015 | 0.08 | 13.636325 | 18.8 | 24.608393 | 27.659302 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296757 | 2015-12-31 21:00:00 | 0.260007 | 0.10 | 14.220739 | 29.5 | 23.170725 | 23.311274 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296758 | 2015-12-31 22:00:00 | 0.520015 | 0.20 | 15.779177 | 27.2 | 23.077370 | 22.580513 | RIO VERMELHO | -13.0055 | -38.487174 |
| 296759 | 2015-12-31 23:00:00 | 0.260007 | 0.22 | 14.415544 | 23.6 | 22.479897 | 25.125997 | RIO VERMELHO | -13.0055 | -38.487174 |